Discovering meaningful keys from ontologies

Object identification is a crucial step in most information systems. Nowadays, we have many different ways to identify entities such as surrogates, keys and object identifiers. However, not all of them guarantee the entity identity. Many works have been introduced in the literature for discovering m...

Full description

Bibliographic Details
Authors: Romero Moral, Óscar|||0000-0001-6350-8328, Abelló Gamazo, Alberto|||0000-0002-3223-2186, Montesó, Joan Marc
Format: report
Publication Date:2009
Country:España
Institution:Universitat Politècnica de Catalunya (UPC)
Repository:UPCommons. Portal del coneixement obert de la UPC
Language:English
OAI Identifier:oai:upcommons.upc.edu:2117/87147
Online Access:https://hdl.handle.net/2117/87147
Access Level:Open access
Keyword:Ontologies
Àrees temàtiques de la UPC::Informàtica::Sistemes d'informació
id ES_b81cdd968e4b4069bf384f4befed0f0a
oai_identifier_str oai:upcommons.upc.edu:2117/87147
network_acronym_str ES
network_name_str España
repository_id_str
spelling Discovering meaningful keys from ontologiesRomero Moral, Óscar|||0000-0001-6350-8328Abelló Gamazo, Alberto|||0000-0002-3223-2186Montesó, Joan MarcOntologiesÀrees temàtiques de la UPC::Informàtica::Sistemes d'informacióObject identification is a crucial step in most information systems. Nowadays, we have many different ways to identify entities such as surrogates, keys and object identifiers. However, not all of them guarantee the entity identity. Many works have been introduced in the literature for discovering meaningful keys, but all of them work at the logical or data level and they share some inherent constraints. Addressing it at the logical level, we may miss some important data dependencies, while the cost to identify data dependencies at the data level may not be affordable. In this paper we propose an approach for discovering meaningful keys from domain ontologies. In our approach, we guide the process at the conceptual level and we introduce a set of pruning rules for improving the performance by reducing the number of key hypotheses generated and to be verified with data. Finally, we also introduce a simulation over a real world case study to show the feasibility of our method.20092009-07-0120162016-05-18reporthttp://purl.org/coar/resource_type/c_93fcVoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/reportapplication/pdfhttps://hdl.handle.net/2117/87147reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/871472026-05-27T15:37:01Z
dc.title.none.fl_str_mv Discovering meaningful keys from ontologies
title Discovering meaningful keys from ontologies
spellingShingle Discovering meaningful keys from ontologies
Romero Moral, Óscar|||0000-0001-6350-8328
Ontologies
Àrees temàtiques de la UPC::Informàtica::Sistemes d'informació
title_short Discovering meaningful keys from ontologies
title_full Discovering meaningful keys from ontologies
title_fullStr Discovering meaningful keys from ontologies
title_full_unstemmed Discovering meaningful keys from ontologies
title_sort Discovering meaningful keys from ontologies
dc.creator.none.fl_str_mv Romero Moral, Óscar|||0000-0001-6350-8328
Abelló Gamazo, Alberto|||0000-0002-3223-2186
Montesó, Joan Marc
author Romero Moral, Óscar|||0000-0001-6350-8328
author_facet Romero Moral, Óscar|||0000-0001-6350-8328
Abelló Gamazo, Alberto|||0000-0002-3223-2186
Montesó, Joan Marc
author_role author
author2 Abelló Gamazo, Alberto|||0000-0002-3223-2186
Montesó, Joan Marc
author2_role author
author
dc.subject.none.fl_str_mv Ontologies
Àrees temàtiques de la UPC::Informàtica::Sistemes d'informació
topic Ontologies
Àrees temàtiques de la UPC::Informàtica::Sistemes d'informació
description Object identification is a crucial step in most information systems. Nowadays, we have many different ways to identify entities such as surrogates, keys and object identifiers. However, not all of them guarantee the entity identity. Many works have been introduced in the literature for discovering meaningful keys, but all of them work at the logical or data level and they share some inherent constraints. Addressing it at the logical level, we may miss some important data dependencies, while the cost to identify data dependencies at the data level may not be affordable. In this paper we propose an approach for discovering meaningful keys from domain ontologies. In our approach, we guide the process at the conceptual level and we introduce a set of pruning rules for improving the performance by reducing the number of key hypotheses generated and to be verified with data. Finally, we also introduce a simulation over a real world case study to show the feasibility of our method.
publishDate 2009
dc.date.none.fl_str_mv 2009
2009-07-01
2016
2016-05-18
dc.type.none.fl_str_mv report
http://purl.org/coar/resource_type/c_93fc
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/report
format report
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/87147
url https://hdl.handle.net/2117/87147
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869417603584229376
score 15,301603

Similar Items